AUTOMATED DRONE SYSTEM FOR INSPECTING AND DETECTING CORROSION AND CRACKS OF RAILWAY TRACKS AND BRIDG

Abstract

ABSTRACT A remotely operated drone with machine planar technology, developed for inspecting the corrosion of railway bridges and to inspect the cracks in the railway tracks, the inspecting department will get a fully generated report based on the inspection performed, our dashboard will provide the entire operatic.>n control being performed in the inspection department. Since it is developed with machine planar technology, employees from the inspection department are requested to select the origin or starting point of inspection, looping area and back to the initial. position after completing the entire inspection. The employees need not operate the drone for inspecting. Once the inspection is completed, our software will provide a full fledged report on the inspection d.one. By this method we can know the corrosion of the railway bridges and the cracks of the railway tracks Q) Kink or misalignment or a dip in the track, Subsidence in. track due to uneven settlement/subsidence in g> the bank.

Specification

FIELD OF INVENTION:
Our suggested solution focuses on using Drone technology to detect and inspect the
railway tracks for any cracks present along the pinned location through our provided
web-portal, the drone mainly focuses on detecting the percentage of corroded part of
railway bridges and provides the entire information to the railway inspection department
for further maintenance. There is no need of any external source to operate the drone, it's
been developed on the basis of machine planner technology, Once the location is being
pinned- in a web portal, the inspection process will be carried out automatically
throughout the mapped location. The foundation of our solution is real-time data
collection, which guarantees that the railway Inspection department has instant access to
accurate information about the data that is being collected through Drone .
.BACKGROUND OF INVENTION:
The invention discloses a remotely operated drone with machine planar technology,
developed for inspecting the corrosion of railway bridges and to inspect the cracks in the
railway tracks, the inspecting department will get a fully generated report based on the
inspection performed, our dashboard will provide the entire control for the operation
being performed by the inspection department. By using machine planar technology,
employees from the inspection department are requested to select the origin or starting
point of inspection, looping area and back to the initial position afler completing the
entire inspection. As the drone is able to fly autonomously, the employees do not need to
operate the drone for inspection. Once the inspection is completed, our software will
provide a full fledged report on the inspection done. By this method we can know the corrosion of the. railway bridges and the cracks of the railway tracks Kink or
misalignment or a dip in the track, Subsidence 111 track due to uneven
settlement/subsidence in the bank.
COMPARISON OF PRIOR ART AND OUR DISCLOSED
SOLUTION:
Manual techniques that have been implemented by using various Inspection car for
inspecting tracks and alignment of the railway tracks.
Our project motive is to automate the inspection process performed· by the inspection
department of indian railways. By using our drone system the entire requirements and
tests done by the inspection car, will be performed by simply using the drone.
The key feature of our project is the detection of corrosion and also crack or dip in the
railway tracks without manpower which can be digitally monitored through the
web-portal.
Each employee will be provided with login credentials which allow them to monitor the
- ·system individually and can. access it continuously. Q)
C) ·m integrating the web-portal with all inspection cars and to the inspection department, in
ll. order to maintain the inspected data and to schedule the upcoming inspections that are to
Cll be done.
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OBJECTIVES:
An important aspect of Indian railways is the safety and maintenance part and followed
by coimecting various places through railroads.
However, inspecting this large rail network for corrosion of tracks and as well as bridges
is quite difficult. But on the other hand, safety for traveling passengers is more important.
Traditional inspecting techniques have frequently been ineffective, time~consuming, and
prone to mistakes.
This research presents a novel approach for real-time inspecting of railway tracks and
bridges for corrosion and cracks or dips using Drone technology in response to these
difficulties.
We want to transform the inspection process through the use of Drone technology assunng accurate and effective safer transport. Our solution provides continuous,
real-time inspecting capabilities, enabling railway inspectors to. prevent corrosion of
tracks and railway bridges before they become a problem.
The system's design and implementation are covered in this paper, with an emphasis on
the hardware, software, and real-time data analysis methods used.
By making it possible for railway officials to precisely track inspection and improve the safety, making
the rail transport safer.
SUMMARY:
The suggested Drone technology solution solves a significant tssue for the
maintenance department of Indian railways.
Our technology intends to detect corrosion,dip of tracks and railway bridges associated
with railway inspection car by merging real-time monitoring with the help of
drones( machine planar technology), data analytics, and automated control. We envisage
a more efficient, cost-effective, and safer transportation process as a result of this
creative strategy, which will eventually benefit both the organization and its passengers.
We have been developing this project with the help of an industrial mentor from (ICFintegral
coach factory) and for the software side we have been guided by a resource
person from (infosys). Coming to the real time implementation, This study is an
important step towards the digital transformation of the inspection department in the
railway sector.
There are no patents or papers published for this problem statement as far as our
knowledge and it is found in Indian railways website which till now does not
have a feasible solution.




CLAIMS:
WE CLAIM
Claim I: Service for providing the solution to detect the corrosion,dip of railway tracks
and bridges of the Indian railway transport system.
Claim 2: The solution described as in Claim I, Which provides an user web-portal to inspect
the entire inspection process
a. Within the user interface it will consist of inspection details, profile, and inspection
routes that are being scheduled
b. The user interface can also be operated through the dashboard provided in the
inspection car.
c. The web portal provides live data, to the employees
Claim 3: As claimed in claim I, the virtual web-portal provides live data and provides an
entire control panel through which they can control and see the live inspection that is being
performed by the drone.
Claim 4: As claimed in claim I, Since the drone is being developed in machine planar
technology it doesn't require any external source for operating it
Claim 5: As claimed in claim I, The collected footage that is being captured through FPV
camera is being sent for preprocessing and identified for corrosion and dip detection.
Claim 6: As claimed in claim I, Through the Web-portal the entire details of the inspection
process and as well as Drone settings is being displayed.
Claim 7:As claimed in claim I, The route of the railway track is being selected by the
employees of the inspection department once it. is being done, the inspection process is started
Claim 8: As claimed in claim I, Since its designed in a machine planar method, if the
battery is drained then the drone is being returned back to home or initial position from where it
started and added fail safe mode for safe landing, incase of any malfunctioning.
Claim 9: As claimed in claim I, In our design we are using digital cameras to detect the
corrosion.and dips of both railway tracks and bridges.
Claim 10: As claimed in claim I, the entire unit focuses on improving the safety measures
and enhancing rail transport.

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